\begin{table}

\caption{\label{tab:em_fit_prevalence_pooled}Model-based label prevalence estimates and label proportions and counts due to model-based aggregation from Dawid--Skene model fitted to the pooled codings in samples 1 and 2 retained after data cleaning.}
\centering
\fontsize{9}{11}\selectfont
\begin{tabular}[t]{lrrr}
\toprule
\multicolumn{2}{c}{\textbf{ }} & \multicolumn{2}{c}{\textbf{Induced labels}} \\
\cmidrule(l{3pt}r{3pt}){3-4}
\textbf{Label class} & Est. prevalence & Proportion & $N$\\
\midrule
``General'' & 0.216 & 0.212 & 1271\\
``Specific'' & 0.131 & 0.127 & 760\\
``Unsure'' & 0.117 & 0.107 & 644\\
``No'' & 0.536 & 0.554 & 3322\\
\bottomrule
\end{tabular}
\end{table}
